Artificial Intelligence (AI) is one of the most significant drivers of innovation in the modern era, transforming the way humans live and manage their work. It is not merely a computational tool; rather, it represents the ability of digital systems to learn and make intelligent decisions, opening new horizons in science, technology, and industry (Russell & Norvig, 2021). AI is applied across diverse fields, from healthcare to agriculture, and from industry to education. In medicine, AI technologies assist in faster and more accurate disease diagnosis and the analysis of complex medical images. In industry, AI improves productivity through automation and data analysis, helping to predict problems before they occur. In the education sector, intelligent applications support personalized learning according to individual student needs (Goodfellow, Bengio, & Courville, 2016). AI technologies rely on Machine Learning and artificial neural networks, which enable computers to gain experience from data and progressively improve their performance. Deep Learning, one of the most advanced areas of AI, has proven effective in image recognition, natural language processing, text translation, and even autonomous vehicle operation (Jordan & Mitchell, 2015). However, the expansion of AI brings significant ethical and social challenges, including privacy protection, fairness in algorithmic decision-making, and potential negative impacts on traditional labor markets. Therefore, regulatory and ethical frameworks are essential to ensure the responsible and safe use of intelligent technologies (Floridi et al., 2018). In conclusion, Artificial Intelligence represents the future of human innovation and creativity. With careful and continuous development, AI has the potential to improve quality of life, support economic growth, and address complex problems facing societies worldwide. References Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., … Vayena, E. (2018). AI4People—An ethical framework for a good AI society: Opportunities, risks, principles, and recommendations. Minds and Machines, 28(4), 689–707. Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press. Jordan, M. I., & Mitchell, T. M. (2015). Machine learning: Trends, perspectives, and prospects. Science, 349(6245), 255–260. Russell, S., & Norvig, P. (2021). Artificial Intelligence: A Modern Approach (4th ed.). Pearson. University of Al-Mustaqbal – the first university in Iraq